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African-ultrachat-alpaca-GGUF

Quantized GGUF model files for African-ultrachat-alpaca from masakhane

Original Model Card:

zephyr-7b-gemma-sft-african-ultraalpaca

This model is a fine-tuned version of google/gemma-7b

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 1e-05
  • train_batch_size: 1
  • eval_batch_size: 1
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 8
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 16
  • total_eval_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss
1.0034 1.0 23628 1.0630
0.6403 2.0 47257 0.8788
0.2976 3.0 70884 0.8875

Framework versions

  • Transformers 4.39.0.dev0
  • Pytorch 2.2.1+cu121
  • Datasets 2.14.6
  • Tokenizers 0.15.2
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GGUF
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google/gemma-7b
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Dataset used to train afrideva/African-ultrachat-alpaca-GGUF